Enzax is a library of automatically differentiable equations and solvers for modelling networks of enzyme-catalysed reactions, written in JAX.
Enzax provides straightforward, fast and interoperable access to the gradients of realistic metabolic network models, allowing you to incorporate these models in your MCMC and machine learning algorithms when you want to, for example, predict the effect of down-regulating an enzyme on the yield of a fermentation experiment.
pip install enzaxfrom enzax.examples import methionine
from enzax.steady_state import get_steady_state
from jax import numpy as jnp
guess = jnp.full((len(model.balanced_species),), 0.01)
steady_state = get_steady_state(methionine.model, guess, methionine.parameters)get_steady_state_hybrid takes the same arguments and tries a short Newton
solve first, which skips the integration when the guess is already good.
import jax
from enzax.examples.methionine import model, parameters
from enzax.parameters import get_parameter_position
from enzax.steady_state import get_steady_state
from jax import numpy as jnp
guess = jnp.full((len(model.balanced_species),), 0.01)
jacobian = jax.jacrev(get_steady_state, argnums=2)(model, guess, parameters)
# Each parameter is one flat array, so ask the model's labels which column
# belongs to GNMT1's turnover number.
pos = get_parameter_position(model.parameter_labelling, "log_kcat", "GNMT1")
jacobian["log_kcat"][:, pos]Array([-3.83561719e-07, -9.66801513e-06, 3.38183091e-10, 3.15564888e-09,
5.28588199e-08], dtype=float64)
from enzax.sbml import load_libsbml_model_from_url, sbml_to_enzax
url = "https://raw.githubusercontent.com/dtu-qmcm/enzax/refs/heads/main/tests/data/exampleode.xml"
libsbml_model = load_libsbml_model_from_url(url)
# or to load an sbml file from your computer:
# libsbml_model = load_libsbml_model_from_file(path_to_file)
model, parameters = sbml_to_enzax(libsbml_model)Note
The parameters in the sbml file have to have unique identifiers. In CopasiUI it is possible to make Global Quantities as assignments and odes. Enzax currently does not support this.